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We propose the first multistage intervention framework that tackles fake news in social networks by combining reinforcement learning with a point process network activity model. The spread of fake news and mitigation events within the…

Machine Learning · Computer Science 2017-06-21 Mehrdad Farajtabar , Jiachen Yang , Xiaojing Ye , Huan Xu , Rakshit Trivedi , Elias Khalil , Shuang Li , Le Song , Hongyuan Zha

This study aims to minimize the influence of fake news on social networks by deploying debunkers to propagate true news. This is framed as a reinforcement learning problem, where, at each stage, one user is selected to propagate true news.…

Social and Information Networks · Computer Science 2024-02-07 Xiaofei Xu , Ke Deng , Michael Dann , Xiuzhen Zhang

The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news, and mitigation of its widespread impact on public opinion. While much of the earlier research…

Machine Learning · Computer Science 2019-01-23 Karishma Sharma , Feng Qian , He Jiang , Natali Ruchansky , Ming Zhang , Yan Liu

In recent years, due to the booming development of online social networks, fake news for various commercial and political purposes has been appearing in large numbers and widespread in the online world. With deceptive words, online social…

Social and Information Networks · Computer Science 2019-08-13 Jiawei Zhang , Bowen Dong , Philip S. Yu

Our work considers leveraging crowd signals for detecting fake news and is motivated by tools recently introduced by Facebook that enable users to flag fake news. By aggregating users' flags, our goal is to select a small subset of news…

Social and Information Networks · Computer Science 2018-03-05 Sebastian Tschiatschek , Adish Singla , Manuel Gomez Rodriguez , Arpit Merchant , Andreas Krause

Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the problem, detect fake news in real time, and mitigate its…

We propose multi-agent reinforcement learning as a new method for modeling fake news in social networks. This method allows us to model human behavior in social networks both in unaccustomed populations and in populations that have adapted…

Artificial Intelligence · Computer Science 2025-10-14 Christoph Aymanns , Jakob Foerster , Co-Pierre Georg , Matthias Weber

This study investigates who should bear the responsibility of combating the spread of misinformation in social networks. Should that be the online platforms or their users? Should that be done by debunking the "fake news" already in…

Physics and Society · Physics 2024-10-15 Diana Riazi , Giacomo Livan

Combating fake news needs a variety of defense methods. Although rumor detection and various linguistic analysis techniques are common methods to detect false content in social media, there are other feasible mitigation approaches that…

Social and Information Networks · Computer Science 2019-04-08 Sina Mohseni , Eric Ragan , Xia Hu

Social media for news consumption is becoming increasingly popular due to its easy access, fast dissemination, and low cost. However, social media also enable the wide propagation of "fake news", i.e., news with intentionally false…

Social and Information Networks · Computer Science 2018-04-30 Kai Shu , H. Russell Bernard , Huan Liu

Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed novel techniques that aim to detect fake news by exploring how…

Computation and Language · Computer Science 2020-09-18 Xinyi Zhou , Atishay Jain , Vir V. Phoha , Reza Zafarani

Online social networking sites are experimenting with the following crowd-powered procedure to reduce the spread of fake news and misinformation: whenever a user is exposed to a story through her feed, she can flag the story as…

Social and Information Networks · Computer Science 2017-11-29 Jooyeon Kim , Behzad Tabibian , Alice Oh , Bernhard Schoelkopf , Manuel Gomez-Rodriguez

Detecting false information on social media is critical in mitigating its negative societal impacts. To reduce the propagation of false information, automated detection provide scalable, unbiased, and cost-effective methods. However, there…

Social and Information Networks · Computer Science 2024-09-09 Sarah Condran

The rise of fake news in the past decade has brought with it a host of consequences, from swaying opinions on elections to generating uncertainty during a pandemic. A majority of methods developed to combat disinformation either focus on…

Computers and Society · Computer Science 2021-08-26 Mansooreh Karami , Tahora H. Nazer , Huan Liu

The growing reliance on social media for news consumption necessitates effective countermeasures to mitigate the rapid spread of misinformation. Prebunking, a proactive method that arms users with accurate information before they come…

Social and Information Networks · Computer Science 2023-11-27 Yigit Ege Bayiz , Ufuk Topcu

Social media platforms have become one of the main channels where people disseminate and acquire information, of which the reliability is severely threatened by rumors widespread in the network. Existing approaches such as suspending users…

Social and Information Networks · Computer Science 2024-03-15 Hongyuan Su , Yu Zheng , Jingtao Ding , Depeng Jin , Yong Li

In the past decade, the social networks platforms and micro-blogging sites such as Facebook, Twitter, Instagram, and Weibo have become an integral part of our day-to-day activities and is widely used all over the world by billions of users…

Computers and Society · Computer Science 2021-12-22 Sakshini Hangloo , Bhavna Arora

The widespread availability of internet access and handheld devices confers to social media a power similar to the one newspapers used to have. People seek affordable information on social media and can reach it within seconds. Yet this…

Social and Information Networks · Computer Science 2024-01-22 Ciprian-Octavian Truică , Elena-Simona Apostol , Radu-Cătălin Nicolescu , Panagiotis Karras

Fake news on Social Media undermines democratic institutions and processes. Especially since 2016, researchers from many disciplines have focussed on ways to address the phenomenon. Much of the research focus to date has been on…

Human-Computer Interaction · Computer Science 2021-05-20 David A. Eccles , Tilman Dingler

With the widespread use of the internet and handheld devices, social media now holds a power similar to that of old newspapers. People use social media platforms for quick and accessible information. However, this convenience comes with a…

Social and Information Networks · Computer Science 2025-09-08 Maria-Diana Cotelin , Ciprian-Octavian Truică , Elena-Simona Apostol
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